Computing the least action ground state of the nonlinear Schr\"odinger equation by a normalized gradient flow
From MaRDI portal
Publication:6394211
DOI10.1016/J.JCP.2022.111675arXiv2203.10788MaRDI QIDQ6394211
Publication date: 21 March 2022
Abstract: In this paper, we generalize the normalized gradient flow method which was first applied to computing the least energy ground state to compute the least action ground state. A continuous normalized gradient flow (CNGF) will be presented and the action diminishing property will be proved to provide a mathematical justification of the gradient flow with discrete normalization (GFDN). Then we use backward-forward Euler method to further discretize the GFDN in time which leads to the GFDN-BF scheme. It is shown that the GFDN-BF scheme preserves the positivity and diminishes the action unconditionally. We compare it with other three schemes which are modified from corresponding ones designed for the least energy ground state and the numerical results show that the GFDN-BF scheme performs much better than the others in accuracy, efficiency and robustness for large time steps. Extensive numerical results of least action ground states for several types of potentials are provided. We also use our numerical results to verify some existing results and lead to some conjectures.
Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Numerical methods for partial differential equations, boundary value problems (65Nxx) Partial differential equations of mathematical physics and other areas of application (35Qxx)
This page was built for publication: Computing the least action ground state of the nonlinear Schr\"odinger equation by a normalized gradient flow
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6394211)
